A Framework of Indexation and Document Video Retrieval based of the Conceptual Graphs

Mounir Zrigui, Mubarak Charhad, Anis Zouaghi


Most of the video indexing and retrieval systems suffer from the lack of a comprehensive video model capturing the image semantic richness, the conveyed signal information and the spatial relations between visual entities. To remedy such shortcomings, we present in this paper a video model integrating visual semantics, spatial and signal characterizations. It relies on an expressive representation formalism handling high-level video descriptions and a full-text query framework in an attempt to operate video indexing and retrieval beyond trivial low-level processes, semantic-based keyword annotation and retrieval frameworks.

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DOI: https://doi.org/10.2498/cit.1001478

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